726c28f8c4
- Add a counter that is incremented once on exit from a scop. - Test cases got split into two: one to test the cycles, and another one to test trip counts. - Sample output: ```name=sample-output.txt scop function, entry block name, exit block name, total time, trip count warmup, %entry.split, %polly.merge_new_and_old, 5180, 1 f, %entry.split, %polly.merge_new_and_old, 409944, 500 g, %entry.split, %polly.merge_new_and_old, 1226, 1 ``` Differential Revision: https://reviews.llvm.org/D33822 llvm-svn: 304543 |
||
|---|---|---|
| .. | ||
| cmake | ||
| docs | ||
| include/polly | ||
| lib | ||
| test | ||
| tools | ||
| unittests | ||
| utils | ||
| www | ||
| .arcconfig | ||
| .arclint | ||
| .gitattributes | ||
| .gitignore | ||
| CMakeLists.txt | ||
| CREDITS.txt | ||
| LICENSE.txt | ||
| README | ||
README
Polly - Polyhedral optimizations for LLVM ----------------------------------------- http://polly.llvm.org/ Polly uses a mathematical representation, the polyhedral model, to represent and transform loops and other control flow structures. Using an abstract representation it is possible to reason about transformations in a more general way and to use highly optimized linear programming libraries to figure out the optimal loop structure. These transformations can be used to do constant propagation through arrays, remove dead loop iterations, optimize loops for cache locality, optimize arrays, apply advanced automatic parallelization, drive vectorization, or they can be used to do software pipelining.